Here we report a system which can be operated using electroencephalography (EEG) signals generated during eye blink and thus may be useful for persons with locomotive and other disabilities for performing their day-to-day activities. EEG signals are processed by a microcontroller and based on programming, the microcontroller takes a decision to perform the desired task by actuating a corresponding device from several devices connected to the system. An important feature of the system is that it can be adapted to particular needs of the user and can be attached/detached for actuation of different appliances according to the user's condition and requirements.
Background:
The involvement in action video gaming alters the cognitive abilities and
hence affects the neural functionality. Electroencephalogram (EEG) favorably provides the measure.
Wavelet coherence, which is a wavelet transform based feature that provides useful information
regarding synchronized activity between two signals. It does not depend on the stationarity of the
signal and hence very much relevant for non-stationary EEG application.
Methods:
We aimed to examine how the task-related synchronization pattern of action video game
players (AVGPs) differs from non-AVGPs. EEG data were collected from thirty-five young and
healthy male participants while performing an attention inhibition task and a visuospatial short-term
memory-retention task. The sub-frequency components, theta, alpha, beta and gamma bands of EEG
were extracted using Discrete wavelet transform (DWT). The intra and inter-hemispheric coherence
in EEG sub-frequency bands were assessed as a feature for the analysis.
Results:
Theta, alpha, beta and gamma coherence has shown a significant difference (p<0.05) between
AVGPs and non-AVGPs in both the visuo-spatial tasks in intra and inter-hemispheric functionality.
More than 90% classification accuracies are achieved with ANFIS algorithm. Results also
indicate that frontoparietal connectivity is significantly improved in AVGPs in both the visual sensory
tasks considered.
Conclusion:
These EEG based analysis reports enhanced neural communication with improved attention
inhibition and short-term memory retention in AVGPs. Result also established the Wavelet
coherence as an effective tool in understanding the neural communication among different brain locations.
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